INFO 526 - Fall 2023 - Project Final
Data Cleaning:We cleaned the dataset by removing rows with missing values in key columns such as Area, Item, and Element to ensure completeness. The cleaned data was then structured with Year and Item as grouping variables and Value representing total production or harvested area. This preprocessing step enabled focused and accurate analysis of agricultural trends.
Exploratory Data Analysis (EDA): Uncover crop production & live stocks patterns and trends using statistical methods and visualizations.
(General Assessment)



Developed vs. Developing: This line plot contrasts production trends in developed and developing countries from 1961 to 2022.
Steady vs. Growth: Highlights steady production in developed nations and a steeper growth trajectory in developing countries.
Driving Factors: Reflects rising demand, advancements in agricultural practices, and economic development in developing regions.
(Vulnerability Assessment)


Visualization: This area chart displays production trends for individual livestock commodities, such as beef, milk, and poultry.
Purpose: Identifies the major contributors to global livestock production and tracks their production evolution over time.
Key Features: Stacked area layers highlight the proportion and changes in production volumes for each commodity.
The global production of the top staple crops has increased significantly over years, with developing countries showing rapid growth compared to the stable yields in developed nations.
Livestock production has steadily grown globally, with rising demand for protein-rich foods leading to notable increases in key commodities such as Milk, beef and poultry.